RRepoGEO

REPOGEO REPORT · LITE

dograh-hq/dograh

Default branch main · commit 3309face · scanned 6/27/2026, 5:27:14 AM

GitHub: 4,659 stars · 1,028 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface dograh-hq/dograh, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to emphasize "Voice AI Platform"

    Why:

    CURRENT
    # Dograh AI
    COPY-PASTE FIX
    # Dograh: The Open-Source Voice AI Platform
  • mediumreleases#2
    Create an initial stable release

    Why:

    COPY-PASTE FIX
    Publish a v1.0.0 or v0.1.0 release tag with corresponding release notes to signal stability and maturity.
  • lowhomepage#3
    Update the GitHub homepage URL to the documentation site

    Why:

    CURRENT
    https://app.dograh.com
    COPY-PASTE FIX
    https://docs.dograh.com

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface dograh-hq/dograh
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Node-RED
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Node-RED · recommended 1×
  2. Mozilla DeepSpeech · recommended 1×
  3. Coqui STT/TTS · recommended 1×
  4. Google Cloud Speech-to-Text · recommended 1×
  5. OpenAI's Whisper/TTS · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source, self-hostable voice AI platform with a visual workflow builder.
    you: not recommended
    AI recommended (in order):
    1. Node-RED
    2. Mozilla DeepSpeech
    3. Coqui STT/TTS
    4. Google Cloud Speech-to-Text
    5. OpenAI's Whisper/TTS
    6. Mycroft AI
    7. Rasa
    8. Rasa X
    9. Home Assistant
    10. Rhasspy

    AI recommended 10 alternatives but never named dograh-hq/dograh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good self-hosted alternatives for building conversational voice agents with telephony integration?
    you: not recommended
    AI recommended (in order):
    1. Asterisk
    2. Mozilla DeepSpeech (mozilla/DeepSpeech)
    3. Coqui TTS (coqui-ai/TTS)
    4. Rhino Speech-to-Text (Picovoice/rhino)
    5. Picovoice Cheetah (Picovoice/cheetah)
    6. Picovoice Orca (Picovoice/orca)
    7. Kaldi (kaldi-asr/kaldi)
    8. MaryTTS (marytts/marytts)
    9. FreeSWITCH (signalwire/freeswitch)
    10. Rasa Open Source (RasaHQ/rasa)
    11. Mycroft AI (MycroftAI/mycroft-core)
    12. OpenVXML (OpenVXML/OpenVXML)

    AI recommended 12 alternatives but never named dograh-hq/dograh. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of dograh-hq/dograh?
    pass
    AI named dograh-hq/dograh explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts dograh-hq/dograh in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dograh-hq/dograh explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo dograh-hq/dograh solve, and who is the primary audience?
    pass
    AI named dograh-hq/dograh explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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dograh-hq/dograh — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite